Annealing Optimization for Progressive Learning with Stochastic
Approximation

v1v2 (latest)

Annealing Optimization for Progressive Learning with Stochastic Approximation

6 September 2022

Christos N. Mavridis

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Papers citing "Annealing Optimization for Progressive Learning with Stochastic Approximation"

12 / 12 papers shown

Title
Risk-Sensitive Reinforcement Learning with Exponential Criteria Erfaun Noorani Christos N. Mavridis John S. Baras 70 9 0 18 Dec 2022
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis G. Northcutt Anish Athalye Jonas W. Mueller 84 537 0 26 Mar 2021
Online Deterministic Annealing for Classification and Clustering Christos N. Mavridis John S. Baras ODL 43 17 0 11 Feb 2021
The Computational Limits of Deep Learning Neil C. Thompson Kristjan Greenewald Keeheon Lee Gabriel F. Manso VLM 53 529 0 10 Jul 2020
Adversarial Training Can Hurt Generalization Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang 82 243 0 14 Jun 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 73 2,660 0 05 Jun 2019
Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks S. Saralajew Lars Holdijk Maike Rees T. Villmann OOD 39 19 0 01 Feb 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 541 19,296 0 20 Jul 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 115 1,348 0 27 Feb 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,583 0 16 Aug 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 284 14,963 1 21 Dec 2013
Robustness and Generalization Huan Xu Shie Mannor OOD 191 462 0 13 May 2010

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